Proceedings Paper

Color management for scanner is one of the key techniques in the color reproduction in information optics. A new digital
Camera color management model is presented based on analyzing its rendering principle. First, standard color target is
taken for experimental sample and substitutes color blocks in color shade district for complete color space to solve the
difficulties of experimental color blocks selecting. Second, Immune Genetic Algorithm is presented to correct BP neural
network to speed up the convergence of the model. Finally the experimental results show that the model can improve
scanner color management accuracy and can be used in digital Camera color management practically.